File size: 1,344 Bytes
8e5987b 5960609 8e5987b ed3e5d4 930057d 9a205ef 930057d 9a205ef 8e5987b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 |
---
task_categories:
- image-to-3d
license: gpl-3.0
---
# PrimitiveAnything
<p align="center">
📃 <a href="https://arxiv.org/abs/2505.04622" target="_blank">Paper</a> • 💻 <a href="https://github.com/PrimitiveAnything/PrimitiveAnything" target="_blank">[Github Repo]</a> • 🌐 <a href="https://primitiveanything.github.io/" target="_blank">Project Page</a>
</p>
This repository contains the test dataset presented in the paper [PrimitiveAnything: Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive Transformer](https://arxiv.org/abs/2505.04622).
**PrimitiveAnything** is a novel framework to decompose complex shapes into 3D primitive assemblies via the auto-regressive transformer.
## Structure
- `basic_shapes_norm`
- `basic_shapes_norm_pc10000`
- `demo_glb`: Demo GLB models
- `test_pc`: Test point clouds
## Usage
You can download the files directly from this repository or use the Hugging Face datasets library:
```python
from huggingface_hub import hf_hub_download, list_repo_files
# Get list of all files in repo
files = list_repo_files(repo_id="hyz317/PrimitiveAnything", repo_type="dataset")
# Download each file
for file in files:
file_path = hf_hub_download(
repo_id="hyz317/PrimitiveAnything",
filename=file,
repo_type="dataset",
local_dir='./data'
)
``` |